TE0240 : Operational Water Demand Forecasting for Network and Plant Optimization

This practical and highly-interactive course includes practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

This course is designed to provide participants with a detailed and up-to-date overview of Operational Water Demand Forecasting for Network and Plant Optimization. It covers the purpose of short- and medium-term operational forecasting including water supply systems and operational context; the data requirements for operational forecasting and demand drivers affecting short-term operations; the forecasting horizons for network and plant optimization and performance metrics for operational forecasts; and the time-series analysis, short-term statistical forecasting techniques and weather-based demand models. 

 

Further, the course will also discuss the zone-level and plant-level forecasting and model calibration and validation; the interpretation of forecast outputs for operators; the machine learning in water operations, feature engineering for operational demand models and machine learning models for short-term forecasting; and the model training and hyperparameter tuning, forecasting uncertainty and risk awareness and comparing and selecting forecasting models. 

During this interactive course, participants will learn the linking of demand forecasts to plant operations; the distribution network optimization, energy and cost optimization and integrated plant–network coordination; the forecast-driven operational decision support, operational resilience and flexibility as well as real-time and near-real-time forecasting; and the scenario-based operational planning, forecasting for asset and maintenance planning and model governance and continuous improvement.